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Measuring Twitter-based political participation and deliberation in the South Korean context by using social network and Triple Helix indicators

Author

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  • Minjeong Kim

    (Colorado State University)

  • Han Woo Park

    (Yeungnam University
    World Class University (WCU) Webometrics Institute and CyberEmotions Research Center, Yeungnam University)

Abstract

This study investigates the role of Twitter in political deliberation and participation by analyzing the ways in which South Korean politicians use Twitter. In addition, the study examines the rise of Twitter as user-generated communication system for political participation and deliberation by using the Triple Helix indicators. For this, we considered five prominent politicians, each belonging to one of four political parties, by using data collected in June 2010. The results suggest that non-mainstream, resource-deficient politicians are more likely to take advantage of Twitter’s potential as an alternative means of political participation and that a small number of Twitter users lead political discourse in the Twittersphere. We also examined the occurrence and co-occurrence of politicians’ names in Twitter posts, and then calculate entropy values for trilateral relationships. The results suggest that the level of political deliberation, expressed in terms of the level of balance in the communication system, is higher when politicians with different political orientations form the trilateral relationships.

Suggested Citation

  • Minjeong Kim & Han Woo Park, 2012. "Measuring Twitter-based political participation and deliberation in the South Korean context by using social network and Triple Helix indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 121-140, January.
    • Handle: RePEc:spr:scient:v:90:y:2012:i:1:d:10.1007_s11192-011-0508-5
    DOI: 10.1007/s11192-011-0508-5
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    References listed on IDEAS

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    1. Gohar Feroz Khan & Han Woo Park, 2011. "Measuring the triple helix on the web: Longitudinal trends in the university‐industry‐government relationship in Korea," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(12), pages 2443-2455, December.
    2. Loet Leydesdorff, 2003. "The mutual information of university-industry-government relations: An indicator of the Triple Helix dynamics," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(2), pages 445-467, October.
    3. Gohar Feroz Khan & Han Woo Park, 2011. "Measuring the triple helix on the web: Longitudinal trends in the university-industry-government relationship in Korea," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(12), pages 2443-2455, December.
    4. Jennifer Golbeck & Justin M. Grimes & Anthony Rogers, 2010. "Twitter use by the U.S. Congress," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(8), pages 1612-1621, August.
    5. Kim Holmberg, 2010. "Co-inlinking to a municipal Web space: a webometric and content analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(3), pages 851-862, June.
    6. Park, Han Woo & Leydesdorff, Loet, 2010. "Longitudinal trends in networks of university-industry-government relations in South Korea: The role of programmatic incentives," Research Policy, Elsevier, vol. 39(5), pages 640-649, June.
    7. Jennifer Golbeck & Justin M. Grimes & Anthony Rogers, 2010. "Twitter use by the U.S. Congress," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(8), pages 1612-1621, August.
    8. Kim Holmberg & Mike Thelwall, 2009. "Local government web sites in Finland: A geographic and webometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(1), pages 157-169, April.
    9. Han Woo Park & Heung Deug Hong & Loet Leydesdorff, 2005. "A comparison of the knowledge-based innovation systems in the economies of South Korea and the Netherlands using Triple Helix indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 65(1), pages 3-27, October.
    10. Gohar Feroz Khan & Junghoon Moon & Han Woo Park & Bobby Swar & Jae Jeung Rho, 2011. "A socio-technical perspective on e-government issues in developing countries: a scientometrics approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(2), pages 267-286, May.
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    Cited by:

    1. Lee, Sangwon & Nam, Yoonjae & Lee, Seonmi & Son, Hyunjung, 2016. "Determinants of ICT innovations: A cross-country empirical study," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 71-77.
    2. Ho Yoon & Han Park, 2014. "Strategies affecting Twitter-based networking pattern of South Korean politicians: social network analysis and exponential random graph model," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(1), pages 409-423, January.
    3. Chung Joo Chung & Han Woo Park, 2014. "Mapping Triple Helix innovation in developing and transitional economies: webometrics, scientometrics, and informetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 1-4, April.
    4. Blazquez, Desamparados & Domenech, Josep, 2018. "Big Data sources and methods for social and economic analyses," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 99-113.
    5. Yi Zhang & Xiao Zhou & Alan L. Porter & Jose M. Vicente Gomila & An Yan, 2014. "Triple Helix innovation in China’s dye-sensitized solar cell industry: hybrid methods with semantic TRIZ and technology roadmapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 55-75, April.
    6. K. Kwon & Shin-Il Moon & Michael Stefanone, 2015. "Unspeaking on Facebook? Testing network effects on self-censorship of political expressions in social network sites," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1417-1435, July.
    7. Teresa L. Ju & Yao Chin Lin & Nhu-Hang Ha, 2014. "Proactive Assessment for Collaboration Success," SAGE Open, , vol. 4(3), pages 21582440145, July.
    8. Kiljae Lee & Won-Yong Oh & Namhyeok Kim, 2013. "Social Media for Socially Responsible Firms: Analysis of Fortune 500’s Twitter Profiles and their CSR/CSIR Ratings," Journal of Business Ethics, Springer, vol. 118(4), pages 791-806, December.
    9. Han Woo Park, 2014. "Mapping election campaigns through negative entropy: Triple and Quadruple Helix approach to South Korea’s 2012 presidential election," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 187-197, April.

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